Paper
23 July 2007 A progressive display prototype system based on MAPL-tree and knowledge rules
Jianlin Li, Changxiu Cheng, Fangqu Niu, Jun Cai, Yanlu Zhu, Dehai Zhu
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Abstract
In recent years, some methods are available for multi-scale databases, for example, Reactive-tree, BLG-tree and GAP tree. However, these methods paid more attention to the multi-scale data structure rather than map generalization knowledge rules. This paper makes an attempt dealing with the integration of multi-scale data structure model and thematic generalization knowledge rules for land use area partitioning map (Terra-type parcels). Inheriting the idea of GAP-tree, the MAPL-tree (Multi-scale data structure for Area Partitioning map of Land use) is built for describing the generalization process of the terra-type parcels. The MAPL-tree is suited for different scale retrieval. Some generalization rules are discussed for landuse area partitioning map, especially for semantic-based merging rules. Based on MAPL-tree and merging knowledge rules, this paper develops a progressive display prototype system. In the last part, we conclude the paper and our further research.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianlin Li, Changxiu Cheng, Fangqu Niu, Jun Cai, Yanlu Zhu, and Dehai Zhu "A progressive display prototype system based on MAPL-tree and knowledge rules", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 675302 (23 July 2007); https://doi.org/10.1117/12.760447
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Cited by 1 scholarly publication.
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KEYWORDS
Prototyping

Databases

Data modeling

Map generalization

Data processing

Agriculture

Classification systems

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